PSI-predictor – Plant Subcellular Localization Prediction

PSI-predictor

:: DESCRIPTION

PSI-predictor (Plant Subcellular localization Integrative predictor) is currently the most comprehensive and integrative subcellular location predictor for plants. Based on the wisdom of group-voting and artificial neural network, PSI integrated prediction results from 11 individual predictors to give accurate results on cytosol (cytos), endoplasmic reticulum (ER), extracellular (extra), golgi apparatus (golgi), membrane (membr), mitochondria (mito), nuclear (nucl), peroxisome (pero), plastid (plast) and vacuole (vacu). The community outperformed each individual predictor both on every subcellular location (≥0.8) and overall, with an AUROC~0.932.

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::DEVELOPER

Ming Chen’s Bioinformatics Group, Zhejiang University.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Lili Liu, Zijun Zhang, Qian Mei, Ming Chen (2013)
PSI: A comprehensive and integrative approach for accurate plant subcellular localization prediction,
PLoS One, DOI:10.1371/journal.pone.0075826